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Recent rapid developments in computing power, such as parallel
processing and neural networks, have stimulated new trends in
control. However a discrepancy exists between available computing
power and exploitable algorithms obtained classically from control
theory. The aim of this book is to address the discrepancy from
both the com putational power and control theory viewpoints. Areas
such as identification, adaptive control, signal processing and
neural networks therefore hold a prominent position in the text
presented. The form of the book is such that it should be useful
for readers at various levels, particularly those at the research
and/or application stage. The book has resulted from the IFAC
Workshop on the Mutual Impact of Computing Power and Control
Theory, which was held at the Institute of Information Theory and
Automation (UTIA), Prague, in September 1992. Organisation of the
event was provided jointly by the Department of Adaptive Systems,
UTIA, Prague and the School of Engineering and Information
Sciences, University of Reading, UK. Selected papers from the
Workshop have been chosen to give a good balance across the field,
whilst at the same time highlighting important areas for future
research. In this way the book represents edited Proceedings from
the Workshop. One point, quickly apparent, is the international
nature of the presentations themselves, which provide not only a
technical appraisal of the field but also inject cultural aspects
which are vitally important on the path ahead."
11 . 2 Study objectives 147 11 . 3 Approach to analysis 147 11. 4
Presentation and discussion of results 151 11 . 5 Conclusions 165
12 Accident management and failure analysis G. C. Meggitt 170 12. 1
Introduction 170 12. 2 Nuclear safety 170 12. 3 The accident 171
12. 4 The accident response 171 12. 5 The automatic response 171
12. 6 The tailored response 173 12. 7 The emergency plan 181 13
Decision support systems and emergency management M. Grauer 182 13.
1 Introduction 182 13. 2 The problem 183 13. 3 The
multiple-criteria approach 184 3 13. 4 OveNiew of the 1-decision
support software 186 13. 5 A case study from chemical industry 189
13. 6 Conclusions 195 References 196 14 Safety integrity management
using expert systems Dr P. Andow 198 14. 1 Introduction 198 14. 2
Safety and risk analysis 198 14. 3 The effects of applying safety
and risk analysis 199 14. 4 Safety integrity management 201 14. 5
Knowledge-base contents 204 14. 6 Summary of system functions 204
14. 7 Discussion 205 References 205 15 Power system alarm analysis
and fault diagnosis using expert systems P. H. Ashmole 207 15. 1
Introduction 207 15. 2 Expert systems for power system alarm
analysis already developed 208 15. 3 Existing substation control
arrangements 209 15. 4 Discussion of alarm data flow 210 15. 5
Expert system requirements 210 15. 6 User interface 211 15. 7
Requirements under different fault conditions 211 15.
Neural networks are an exciting technology of growing importance in
real industrial situations, particularly in control and systems.
This book aims to give a detailed appreciation of the use of neural
nets in these applications; it is aimed particularly at those with
a control or systems background who wish to gain an insight into
the technology in the context of real applications. The book
introduces a wide variety of network types, including Kohenen nets,
n-tuple nets and radial basis function networks, as well as the
more usual multi-layer perception back-propagation networks. It
begins by describing the basic principles and some essential design
features, then goes on to examine in depth several application
studies illustrating a range of advanced approaches to the topic.
Upcoming Numerical Linear Algebra Issues in Systems and Control
Theory (P. Van Dooren). Sidestepping the Certainty Equivalence in
2DOF Adaptive Control Via the Multiple Implicit Identifiers (E.
Mosca et al.). Complexity of Dynamic Models for Intelligent Control
(K.M. Hangos). The Most Simple Systolic Architectures for Parallel
Probabalistic Searching Algorithms (I. Kramosil). On the Riemannian
Interpretation of the GaussNewton Algorithm (B. Hanzon, R.L.M.
Peeters). A Numerical Method for Computing the Approximate Solution
of the InfiniteDimensional DiscreteTime Optimal Linear Filtering
Problem (L. Jetto). Smart Matrices (P. Kovanic). Branch and Bound
Algorithm for Global Optimization in Control Theory (S. Balemi, V.
Balakrishnan). Mapping LQ Control Design on FixedSize Array
Processors (L. Chisci, G. Zappa). Identification of DataCompatible
Models for Control Applications (R.P. Guidorzi, A. Stoian). 19
additional articles. Index.
This text is an extremely useful guide for those wishing to
investigate the application of self-tuning control systems. The
contents have been chosen in order to restrict the amount of
theoretical detail to that necessary for explanation purposes,
whilst application examples and programming suggestions are
highlighted. The overall text is suitable for those wishing to gain
the flavour of adaptive control, although those already familiar
with selftuning techniques will find the problem solutions
discussed to be most attractive. Parameter estimation, numerical
solutions and software aspects are all considered at length, while
simplified procedures and predictive self-tuning schemes are shown
in terms of fundamental concepts. The level of the book is such
that practising control engineers and postgraduate or final year
control, engineering or cybernetics students would find it most
suitable. A certain amount of basic digital/sampled data control
systems terminology is assumed, although this does not mean that
the reader needs to be familiar with more mathematical ideas, such
as discrete transform methods or statistical theory. The text could
be used as the foundation of a Masters course module, particularly
if an emphasis is placed on the practical aspects of self-tuning
control. The book is an ideal source for those interested in
self-tuning and adaptive control, and contains many useful
suggestions for future trends, research directions and
implementation/ application possibilities.
This book provides an introduction to the techniques employed in
the design and implementation of digital control systems. The text
has arisen out of a highly successful IEE Vacation School held
annually at Oxford University and the contents have been tailored
to a digestible level and breadth by means of the feedback provided
from previous School participants. As well as a tutorial approach
to the description of basic concepts and general ideas used, most
chapters include numerous worked examples and details of particular
applications in order to enhance the theory introduced. The
importance of putting over a technique by making use of practical
examples is highlighted by the inclusion of several chapters in
which selected case studies are presented detailing applications of
both the more conventional and the more modern digital control
ideas. The book is aimed at engineers, managers and engineering
students who wish to become more widely informed about how they may
employ the latest advances in digital control technology. To this
end, earlier chapters concentrate on the theoretical framework of
digital control, whereas later chapters concentrate on its
implementation. This results in an up-to-date overview of digital
control schemes which is an excellent reference text for
industrialists and academics alike. This substantially revised 2nd
edition (more than a third of the book is completely new)
represents a distinct improvement on the extremely successful 1st
edition, and bears witness to the constant modernisation required
in such a rapidly changing area.
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